Model save

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: estudiante_S3D_VIOPERU
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# estudiante_S3D_VIOPERU
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5283
+- Accuracy: 0.6607
+- F1: 0.6345
+- Precision: 0.7254
+- Recall: 0.6607
+- Roc Auc: 0.8393
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 75
+- eval_batch_size: 75
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 18
+- training_steps: 180
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy | F1     | Precision | Recall | Roc Auc |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-------:|
+| 0.7424        | 2.0056  | 9    | 0.7396          | 0.5      | 0.3333 | 0.25      | 0.5    | 0.4490  |
+| 0.6674        | 4.0111  | 18   | 0.7129          | 0.5179   | 0.3718 | 0.7545    | 0.5179 | 0.5242  |
+| 0.6027        | 6.0167  | 27   | 0.7228          | 0.6071   | 0.5354 | 0.78      | 0.6071 | 0.5931  |
+| 0.5256        | 8.0222  | 36   | 0.6547          | 0.6607   | 0.6166 | 0.7979    | 0.6607 | 0.6671  |
+| 0.4766        | 11.0056 | 45   | 0.6149          | 0.6786   | 0.6415 | 0.8043    | 0.6786 | 0.7181  |
+| 0.4165        | 13.0111 | 54   | 0.6709          | 0.6786   | 0.6415 | 0.8043    | 0.6786 | 0.7487  |
+| 0.4021        | 15.0167 | 63   | 0.6160          | 0.6786   | 0.6415 | 0.8043    | 0.6786 | 0.7730  |
+| 0.3406        | 17.0222 | 72   | 0.5971          | 0.6429   | 0.6111 | 0.7121    | 0.6429 | 0.7972  |
+| 0.316         | 20.0056 | 81   | 0.6109          | 0.6607   | 0.6345 | 0.7254    | 0.6607 | 0.8176  |
+| 0.2818        | 22.0111 | 90   | 0.5283          | 0.6607   | 0.6345 | 0.7254    | 0.6607 | 0.8393  |
+
+
+### Framework versions
+
+- Transformers 4.46.1
+- Pytorch 2.0.1+cu118
+- Datasets 3.1.0
+- Tokenizers 0.20.1

all_results.json

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+{
+    "epoch": 22.011111111111113,
+    "total_flos": 0.0,
+    "train_loss": 0.4831820335653093,
+    "train_runtime": 4324.1379,
+    "train_samples_per_second": 3.122,
+    "train_steps_per_second": 0.042
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c0852fe107fd555e795a38512a8a7e72dd2bf7d1d8884009a754bf7284fd5844
+oid sha256:215469784e7dcafad7b03015e129a624f5637d386802a6f092233d3ba30ce8f3
 size 31782968

train_results.json

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+{
+    "epoch": 22.011111111111113,
+    "total_flos": 0.0,
+    "train_loss": 0.4831820335653093,
+    "train_runtime": 4324.1379,
+    "train_samples_per_second": 3.122,
+    "train_steps_per_second": 0.042
+}